Using NASA Earth Observations to Enhance Public Health Tracking of Particle Exposure and Extreme Heat in Los Angeles

EarthzineDEVELOP Virtual Poster Session, Original

Satellite imagery of Los Angeles

Landsat Thematic Mapper Suitability Analysis Map of 2010 US Census Tract-Level Regions in the Los Angeles Metropolitan Area. The black circles depict the 13 EPA ground measurement stations with data that we assessed in developing a linear regression model. This was accomplished using NASA's Multi-angle Imaging SpectroRadiometer (MISR) Level 1 Radiance Measurements as a predictor of ground-based particulate matter 2.5 measurements, based on MISR and EPA data from 2009.Will remote sensing play a greater role in addressing public health issues in the near future? DEVELOP students at the Jet Propulsion Laboratory analyze how NASA’s MISR data aboard the Terra satellite may assist in predicting ground-based air pollution in Los Angeles, California, and how Landsat 5’s Thematic Mapper can be used to map communities of vulnerability when linked to certain demographic factors.

Utilization of Remote Sensing and Atmospheric Modeling to Determine Dynamics of 2010 Russian Forest Fires

EarthzineDEVELOP Virtual Poster Session, Original

Image showing intensity of Russian wildfires

A burn scar image over the Nizhny Novgorod region in western Russia taken on Oct. 8, 2010. Areas in red denote burned land area. This image was generated by compositing bands 7, 4, and 2 of NASA and USGS Landsat 7 Enhanced Thematic Mapper+ data.How can NASA EOS be used to enhance the study of wildfires and poor air quality around the globe? In 2010, Western Russia experienced a series of severe and sustained forest fires. The use of several NASA technologies allowed for an analysis of meteorological conditions, land scarring, and air quality to better understand the impacts of this disaster. Methods from this study can be applied to future fire prediction, analysis, and other global concerns.

Monitoring Agricultural Tillage Practices with NASA Hyperspectral Satellite Imagery

EarthzineDEVELOP Virtual Poster Session, Original

This image shows tillage classification derived from the Cellulose Absorption Index, which indicates crop residue. The accuracy of the classification distinguishing conventional tillage and conservation tillage was about 80%, and comparable to the accuracy of current monitoring methods. Ground data was obtained from Dr. Craig Daughtry, a research agronomist with the USDA-ARS Hydrology and Remote Sensing Laboratory in Beltsville, Maryland, from the same area shown within the bounds of the NASA Hyperion satellite swath above.

This image shows tillage classification derived from the Cellulose Absorption Index, which indicates crop residue. The accuracy of the classification distinguishing conventional tillage and conservation tillage was about 80%, and comparable to the accuracy of current monitoring methods. Ground data was obtained from Dr. Craig Daughtry, a research agronomist with the USDA-ARS Hydrology and Remote Sensing Laboratory in Beltsville, Maryland, from the same area shown within the bounds of the NASA Hyperion satellite swath above.How can NASA Earth observations help monitor the way farmers till their fields? In the wake of climate change and greenhouse gas levels increasing in the atmosphere, monitoring tilling practices has become increasingly important. Conventional tillage creates a carbon source, while conservation tillage creates a carbon sink. The need for an efficient and effective means of delineating fields prepared by conservation tillage calls for methodologies using remote sensing.